Edge computing with artificial intelligence: A machine learning perspective
Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …
providing sufficient data for model training and inference, IoT has promoted the development …
Predictive maintenance in the Industry 4.0: A systematic literature review
Industry 4.0 is collaborating directly for the technological revolution. Both machines and
managers are daily confronted with decision making involving a massive input of data and …
managers are daily confronted with decision making involving a massive input of data and …
Enabling technologies and tools for digital twin
Digital twin is revolutionizing industry. Fired by sensor updates and history data, the
sophisticated models can mirror almost every facet of a product, process or service. In the …
sophisticated models can mirror almost every facet of a product, process or service. In the …
A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs-A review and empirical investigation
The smart manufacturing systems (SMS) offer several advantages compared to the
traditional manufacturing systems and are increasingly being adopted by manufacturing …
traditional manufacturing systems and are increasingly being adopted by manufacturing …
A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs)
The objective of this paper is to critically review currently available Smart Manufacturing
(SM) and Industry 4.0 maturity models, and analyze their fit recognizing the specific …
(SM) and Industry 4.0 maturity models, and analyze their fit recognizing the specific …
Multistage implementation framework for smart supply chain management under industry 4.0
The true potential of the industry 4.0, which is a byproduct of the fourth industrial revolution,
cannot be actually realized. This is, of course true, until the smart factories in the supply …
cannot be actually realized. This is, of course true, until the smart factories in the supply …
Deep learning for smart manufacturing: Methods and applications
Smart manufacturing refers to using advanced data analytics to complement physical
science for improving system performance and decision making. With the widespread …
science for improving system performance and decision making. With the widespread …
Data-driven smart manufacturing
The advances in the internet technology, internet of things, cloud computing, big data, and
artificial intelligence have profoundly impacted manufacturing. The volume of data collected …
artificial intelligence have profoundly impacted manufacturing. The volume of data collected …
Enabling technologies for fog computing in healthcare IoT systems
AA Mutlag, MK Abd Ghani, N Arunkumar… - Future generation …, 2019 - Elsevier
Context: A fog computing architecture that is geographically distributed and to which a
variety of heterogeneous devices are ubiquitously connected at the end of a network in …
variety of heterogeneous devices are ubiquitously connected at the end of a network in …
[HTML][HTML] Tackling faults in the industry 4.0 era—a survey of machine-learning solutions and key aspects
The recent advancements in the fields of artificial intelligence (AI) and machine learning
(ML) have affected several research fields, leading to improvements that could not have …
(ML) have affected several research fields, leading to improvements that could not have …